Reducing the error in a machine learning model is a balancing act between reducing bias and variance.

Machine Learning Part 5: Bias-Variance Trade-off

Maximum likelihood estimation and a little probability review.

Machine Learning Part 4: Maximum Likelihood Estimation

Local versus global optimums and a deep dive into gradient descent.

An introduction to single-layer neural networks.

A visualization of a few sorting algorithms made with vanilla JavaScript.

Using a blinking LED attached to an Arduino to measure the latency of a webcam.

Part 2 of this series goes over motor control and implementing a PID control algorithm.

Part 1 of this series goes over the physics of balancing and how to use an IMU sensor to detect the orientation of the robot.

Deriving the Navier-Stokes equations from scratch.

A summary of a browser game I made with JavaScript.

A brief overview of a basic chat application I made with React, Express, socket.io, and Auth0.